samsung SM-S721B
Geekbench AI Score
610
Single Precision Score
966
Half Precision Score
774
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | dd1989 |
| Upload Date | August 03 2025 03:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 10.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (HP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (Q)
|
97% |
602
112.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1149
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3021
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5413
6.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
5306
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
99% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
83% |
424
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (Q)
|
96% |
1878
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1305
10.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2298
17.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1776
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4812
6.19 IPS |
|
|
Style Transfer (HP)
|
100% |
9121
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9049
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1506
55.8 IPS |
|
|
Text Classification (SP)
|
35% |
20
177.4 IPS |
|
|
Text Classification (HP)
|
29% |
15
256.8 IPS |
|
|
Text Classification (Q)
|
29% |
13
233.0 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (Q)
|
43% |
84
4.87 IPS |
